Management Accounting in the Big Data Era – Opportunities or Threats?

Ossimitz; Wieder, B; Chapman, P; Thirathon, U

Management Accounting in the Big Data Era – Opportunities or Threats?

Ossimitz

Wieder, B

Chapman, P Thirathon, U

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Publication Type:: Conference Proceeding
Citation:: http://icesal.org/proceedings.html (nya), 2018
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Ossimitz https://orcid.org/0000-0001-5417-5752	en_US
dc.contributor.author	Wieder, B https://orcid.org/0000-0002-7093-6213	en_US
dc.contributor.author	Chapman, P	en_US
dc.contributor.author	Thirathon, U https://orcid.org/0000-0002-4465-7480	en_US
dc.date	2017-06-17	en_US
dc.date.available	2017-04-03	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	http://icesal.org/proceedings.html (nya), 2018	en_US
dc.identifier.uri	http://hdl.handle.net/10453/98436
dc.description.abstract	Over the past two decades, the digital revolution has brought along (a) ‘Big Data’, i.e. data which have rapidly become too big in volume, too diverse in nature and too rapidly changing to be handled in conventional databases and analysed using conventional tools, and (b) ‘data science’, “the study of the generalizable extraction of knowledge from data” (Dhar 2013), which develops and applies tools to manage and analyse (Big) Data. Data scientists are seen as new breed of managerial decision supporters, and insofar cross traditional management accounting territory. The aim of this study is to investigate the current and predict the future relationships between management accounting and the emerging data science discipline, based on a systematic analysis of the academic and practitioner literatures. While there is very little empirical evidence of an actual impact of data science on the management accounting profession, such impacts are predicted for the near future. Management accountants are expected to break with their traditions and collaborate with data scientists for mutual benefits. On the one hand, management accountants can be ‘data businesspeople’ or ‘horizontal data scientists’, who contribute essential business knowledge and data understanding to data science/Big Data projects. To succeed in such efforts, established and graduating management accountants face a need for up-skilling in technology, statistics, data mining, etc. and move into deeper analysis. Data scientists, on the other hand, can use their technical expertise to enrich established management accounting techniques and practices (e.g. the Balanced Scorecard, forecasting, etc.) with more advanced statistical or machine learning techniques.	en_US
dc.relation.ispartof	http://icesal.org/proceedings.html (nya)	en_US
dc.relation.ispartof	International Conference on Enterprise Systems, Accounting and Logistics	en_US
dc.title	Management Accounting in the Big Data Era – Opportunities or Threats?	en_US
dc.type	Conference Proceeding
utslib.location.activity	Thessaloniki, Greece	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Accounting Discipline
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2017-06-19	en_US
pubs.publication-status	Published online	en_US
pubs.start-date	2017-06-17	en_US

Abstract:

Over the past two decades, the digital revolution has brought along (a) ‘Big Data’, i.e. data which have rapidly become too big in volume, too diverse in nature and too rapidly changing to be handled in conventional databases and analysed using conventional tools, and (b) ‘data science’, “the study of the generalizable extraction of knowledge from data” (Dhar 2013), which develops and applies tools to manage and analyse (Big) Data. Data scientists are seen as new breed of managerial decision supporters, and insofar cross traditional management accounting territory. The aim of this study is to investigate the current and predict the future relationships between management accounting and the emerging data science discipline, based on a systematic analysis of the academic and practitioner literatures. While there is very little empirical evidence of an actual impact of data science on the management accounting profession, such impacts are predicted for the near future. Management accountants are expected to break with their traditions and collaborate with data scientists for mutual benefits. On the one hand, management accountants can be ‘data businesspeople’ or ‘horizontal data scientists’, who contribute essential business knowledge and data understanding to data science/Big Data projects. To succeed in such efforts, established and graduating management accountants face a need for up-skilling in technology, statistics, data mining, etc. and move into deeper analysis. Data scientists, on the other hand, can use their technical expertise to enrich established management accounting techniques and practices (e.g. the Balanced Scorecard, forecasting, etc.) with more advanced statistical or machine learning techniques.

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http://hdl.handle.net/10453/98436